code: def test_autoregressive_sample_transformer_quality(self):
      pred_model = models.Transformer(
          d_model=64,
          d_ff=128,
          dropout=0.05,
          max_len=256,
          n_heads=2,
          n_encoder_layers=2,
          n_decoder_layers=2,
          input_vocab_size=13,
          mode="predict",
      )
      shape11 = shapes.ShapeDtype((1, 1), dtype=np.int32)
      model_path = os.path.join(_TESTDATA, "transformer_copy.pkl.gz")
      pred_model.init_from_file(
          model_path,
          weights_only=True,
          input_signature=(shape11, shape11),
      )
      inputs = np.array([[3, 7, 5, 3, 2, 4, 1, 8]], dtype=np.int32)
      s = decoding.autoregressive_sample(
          pred_model,
          inputs=inputs,
          eos_id=1,
          max_length=10,
          temperature=0.0,
      )
      self.assertEqual(str(s[0]), "[3 7 5 3 2 4 1]")
  
imports: import functools
  import os
  import gin
  from jax import config
  import numpy
  from tensorflow.compat.v2 import test
  from trax import fastmath
  from trax import layers
  from trax import models
  from trax import shapes
  from trax.supervised import decoding
label_desc: Use image node_id 11 for calling the DecodingTest obj's underlying member method code with example usage: obj.test_autoregressive_sample_transformer_quality() without return types